Senior Python Software Engineer (AI Product)

Our client is looking for an experienced Senior Python Software Engineer to help build and evolve the backend infrastructure powering their AI platform., This is an excellent opportunity for engineers who enjoy solving complex technical challenges, taking ownership of features from design to production, and working in a collaborative product environment.

What You'll Do

• Design, build, and maintain scalable Python backend services.
• Develop new microservices and enhance existing platform functionality.
• Own features end-to-end, from technical design through implementation, testing, deployment, and maintenance.
• Build asynchronous services and real-time communication components.
• Work with distributed systems and message brokers.
• Collaborate closely with Product, QA, and Engineering throughout the entire development lifecycle.
• Participate in architecture discussions and technical decision-making.
• Write clean, maintainable, and well-tested production code.
• Contribute to code reviews, documentation, and engineering best practices.

Although the product is AI-first, the team is primarily looking for experienced software engineers rather than data engineers. Strong backend engineering fundamentals, system design skills, and experience building production software are significantly more important than prior experience with AI frameworks or LLM technologies., Required

• 5+ years of commercial Python development experience.
• Strong object-oriented programming (OOP) skills.
• Proven experience building and maintaining production backend applications.
• Experience designing and developing microservices.
• Strong understanding of the complete Software Development Lifecycle (SDLC).
• Experience with asynchronous programming, data streaming, and WebSockets.
• Experience with Django or FastAPI.
• Experience with RabbitMQ, Kafka, or similar messaging systems.
• Experience with Docker and Kubernetes.
• Solid Git workflow and version control experience.
• Strong software engineering fundamentals and system design skills.
• Excellent problem-solving abilities and the ability to quickly learn new technologies.
• Experience working in agile, cross-functional product teams.
• Good written and spoken English.

Nice to Have

• Experience building AI-powered products.
• Familiarity with LLMs, RAG, LangChain, CrewAI, Hugging Face, OpenAI APIs, or similar technologies.
• Experience with AWS, GCP, or Azure.
• Experience working with PostgreSQL and/or NoSQL databases.
• Familiarity with vector databases.
• Infrastructure as Code (Terraform or CloudFormation).
• Experience with automated testing.
• Bash scripting.

Our client is an AI-first product company building an intelligent agent platform that helps automate complex business workflows using modern AI technologies. The product has been actively developed for nearly two years and is already beyond the MVP stage. While the platform continues to evolve rapidly, the engineering team has established mature development practices, structured documentation, and a strong culture of ownership. The company values engineering excellence, autonomy, and thoughtful technical decision-making over simply delivering code., This role is designed for engineers who enjoy taking ownership rather than simply implementing assigned tasks. You'll join a highly collaborative engineering team where developers are encouraged to contribute to technical design, architecture discussions, and engineering improvements. The company combines the pace of an early-stage product with mature development processes, structured documentation, and a supportive onboarding experience. The team values curiosity, adaptability, and strong software engineering principles far more than experience with any specific framework or technology. Working Environment * Fully remote. * Preference for candidates based in Eastern Europe. * Core collaboration hours approximately 11:00-18:00 CET. * International distributed team. * Product-focused engineering environment with high ownership. Hiring Process 1. Pre-screen interview with the external recruitment partner (30 minutes). 2. HR interview (approximately 30 minutes). 3. Technical interview with the Engineering Lead (approximately 90 minutes). 4. Live coding session (approximately 2 hours). 5. Offer. About OnHires 201-500 Tallinn